dataset="clothing1m"
seed=0
threshold=0.5
# pl_start_epoch=10
pl_start_epoch=1
pl_end_epoch=150
loss_pl_param=0.4
T=1.0
bpl_mom=0.3
gpu="1"
folder="results_opt"
seed_array=(0)
exp_times="0"

mkdir ${folder}/
mkdir ${folder}/${dataset}

for seed in ${seed_array[@]}
do
    config=config_${dataset}_opt.json
    name=${dataset}_seed_${seed}_exp_${exp_times}
    CUDA_VISIBLE_DEVICES=${gpu} python train_with_pl_batch_stand_opt.py \
        -c ${config} --seed ${seed} --name ${name} --loss_pl_param ${loss_pl_param} \
        --pl_start_epoch ${pl_start_epoch} --pl_end_epoch ${pl_end_epoch} \
        --threshold ${threshold} --T ${T} --bpl_mom ${bpl_mom}\
        > ${folder}/${dataset}/${name}_1.log
done